mnabihali / Joint-training-embeddings
This is the official implementation of " Enhancing Embeddings for Speech Classification in Noisy Conditions"
☆10Updated last year
Alternatives and similar repositories for Joint-training-embeddings:
Users that are interested in Joint-training-embeddings are comparing it to the libraries listed below
- ☆26Updated last year
- This repository is the official implementation of unimodal aggregation (UMA) for automaticspeech recognition (ASR).☆21Updated last month
- Official code for MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enh…☆31Updated 5 months ago
- Dynamic Mixing For Speech Processing (mix-on-the-fly)☆17Updated 2 years ago
- The implementation of TaylorBeamformer, which is in submission to Interspeech2022☆40Updated 2 years ago
- ☆25Updated last year
- ☆20Updated 3 months ago
- Efficient Personalized Speech Enhancement through Self-Supervised Learning☆21Updated last year
- Source Code for the Paper "UNIFIED KEYWORD SPOTTING AND AUDIO TAGGING ON MOBILE DEVICES WITH TRANSFORMERS"☆23Updated last year
- ☆15Updated 4 years ago
- ☆9Updated 2 years ago
- unofficial implementation of "CPTNN: CROSS-PARALLEL TRANSFORMER NEURAL NETWORK FOR TIME-DOMAIN SPEECH ENHANCEMENT"☆15Updated last year
- Official repo for "A MODULATION-DOMAIN LOSS FOR NEURAL-NETWORK-BASED REAL-TIME SPEECH ENHANCEMENT" to appear in ICASSP 2021☆38Updated 3 years ago
- Multipurpose Multi Speaker Mixture Signal Generator☆44Updated 3 months ago
- ☆12Updated 2 months ago
- Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch☆28Updated 2 years ago
- The implementation of "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement"☆51Updated last year
- Official implementation of "PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords" (INTERSPEECH 2023)☆42Updated 7 months ago
- Model configurations for scaling SE models in the paper "Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enha…☆32Updated 5 months ago
- ☆25Updated 2 months ago
- PyTorch implementation of Continuous Speech Separation☆13Updated 2 years ago
- Implementation for paper: Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement☆20Updated 3 years ago
- ☆48Updated last year
- Pytorch Models for Speech Enhancement☆16Updated last year
- ☆13Updated 3 years ago
- Official data preparation and metric evaluation scripts for the Interspeech 2025 URGENT challenge.☆43Updated 2 weeks ago
- Ablation study of local spectral attention (LSA) for full-band speech enhancement (SE)☆27Updated last year
- multi-channel target speech extraction with channel decorrelation and target speaker adaptation☆25Updated 3 years ago
- We design a spectral compression mapping (SCM) for full-band speech enhancement, and propose a two-stage stream named MHA-DPCRN☆22Updated 2 years ago
- ☆32Updated 4 months ago